Krzysztof J. Geras

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Topics

Chest Radiographs

Multiple Instance

Top Venues

IEEE Trans. Medical Imaging

Publications

Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras
Understanding differences in applying DETR to natural and medical images. CoRR (2024)
Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging 43 (1) (2024)
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
Detecting incidental correlation in multimodal learning via latent variable modeling. Trans. Mach. Learn. Res. 2023 (2023)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR (2023)
Jakub Chledowski, Jungkyu Park, Krzysztof J. Geras
Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images. DICTA (2023)
Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. CoRR (2023)
Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks. ICML (2022)
Nan Wu, Stanislaw Jastrzebski, Kyunghyun Cho, Krzysztof J. Geras
Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks. CoRR (2022)
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. CoRR (2022)
Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
Generative multitask learning mitigates target-causing confounding. NeurIPS (2022)
Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR (2022)
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. MLHC (2022)
Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
Generative multitask learning mitigates target-causing confounding. CoRR (2022)
Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR (2022)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021)
Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML (2021)
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data. CoRR (2021)
Aidan C. Daly, Krzysztof J. Geras, Richard Bonneau
A convolutional neural network for common coordinate registration of high-resolution histology images. Bioinform. 37 (22) (2021)
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging 34 (6) (2021)
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR (2021)
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL (2021)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. 68 (2021)
Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chledowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
Meta-repository of screening mammography classifiers. CoRR (2021)
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR (2021)
Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3 (8) (2021)
Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR (2020)
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
The Break-Even Point on Optimization Trajectories of Deep Neural Networks. CoRR (2020)
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Differences between human and machine perception in medical diagnosis. CoRR (2020)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR (2020)
Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR (2020)
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 39 (4) (2020)
Jason Phang, Jungkyu Park, Krzysztof J. Geras
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability. CoRR (2020)
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
Classifier-agnostic saliency map extraction. Comput. Vis. Image Underst. 196 (2020)
Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR (2020)
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras
The Break-Even Point on Optimization Trajectories of Deep Neural Networks. ICLR (2020)
Nan Wu, Stanislaw Jastrzebski, Jungkyu Park, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening. MIDL (2020)
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR (2020)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI (2019)
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
Classifier-Agnostic Saliency Map Extraction. AAAI (2019)
Thibault Févry, Jason Phang, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Improving localization-based approaches for breast cancer screening exam classification. CoRR (2019)
Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR (2019)
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR (2019)
Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Screening Mammogram Classification with Prior Exams. CoRR (2019)
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, S. Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
Breast Density Classification with Deep Convolutional Neural Networks. ICASSP (2018)
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
Classifier-agnostic saliency map extraction. CoRR (2018)
Krzysztof J. Geras, Stacey Wolfson, S. Gene Kim, Linda Moy, Kyunghyun Cho
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks. CoRR (2017)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) (2017)
Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, S. Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
Breast density classification with deep convolutional neural networks. CoRR (2017)
Krzysztof J. Geras, Charles Sutton
Composite Denoising Autoencoders. ECML/PKDD (1) (2016)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR (2016)
Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML (2016)
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
Compressing LSTMs into CNNs. CoRR (2015)
Krzysztof J. Geras, Charles Sutton
Scheduled denoising autoencoders. ICLR (Poster) (2015)
Krzysztof J. Geras, Charles Sutton
Multiple-source cross-validation. ICML (3) (2013)
Amos J. Storkey, Jono Millin, Krzysztof J. Geras
Isoelastic Agents and Wealth Updates in Machine Learning Markets. ICML (2012)